Code Generation papers, 2023–2026
Program synthesis and code LLMs
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 2,161 papers are tagged with this topic.
Key findings
- Code Generation went from 210 papers in 2023 to 860 in 2026, roughly 4.1x in three years.
- NeurIPS publishes the most Code Generation work: 630 papers from 2023 to 2026, 29% of the four-venue total.
- The fastest-growing overlap is with AI Agents: papers tagged with both rose from 0 in 2023 to 93 in 2026.
- Among the 5 topics under Natural Language, it ranks #1 by 2026 paper count; the fastest grower in the group, Retrieval-Augmented Generation, is up 5.4x versus 4.1x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 29 | 55 | 31 | 95 | 210 |
| 2024 | 135 | 66 | 111 | 134 | 446 |
| 2025 | 230 | 164 | 79 | 172 | 645 |
| 2026 | 236 | 241 | 174 | 209 | 860 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026A Theoretical Analysis of Test-Driven Code Generation
- ICML 2026$A_2$DEPT: Large Language Model–Driven Automated Algorithm Design via Evolutionary Program Trees
- ICLR 2026A Bayesian Nonparametric Framework for Private, Fair, and Balanced Tabular Data Synthesis
- CVPR 2026ACPV-Net All-Class Polygonal Vectorization for Seamless Vector Map Generation from
- NeurIPS 2025$\texttt{STRCMP}$: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization
- ICML 2025AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement
- ICLR 2025Automated Proof Generation for Rust Code via Self-Evolution
- CVPR 2025ArtFormer: Controllable Generation of Diverse 3D Articulated Objects
- NeurIPS 2024AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries
- ICML 2024ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation
- ICLR 2024CODE REPRESENTATION LEARNING AT SCALE
- CVPR 2024Desigen: A Pipeline for Controllable Design Template Generation
- NeurIPS 2023ANPL: Towards Natural Programming with Interactive Decomposition
- ICML 2023Can Large Language Models Reason about Program Invariants?
- ICLR 2023Binding Language Models in Symbolic Languages
- CVPR 2023Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization
- NeurIPS 2026A Theory of Time-Sensitive Language Generation: Sparse Hallucination Beats Mode Collapse
- ICML 2026Beyond Problem Solving: UOJ-Bench for Evaluating Code Generation, Hacking, and Repair in Competitive Programming
- ICLR 2026AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer
- CVPR 2026Animator-Centric Skeleton Generation on Objects with Fine-Grained Details
All Code Generation papers
645 papers, page 7 of 13
- ICLR 2025SFS: Smarter Code Space Search improves LLM Inference Scaling
- ICLR 2025Shh, don't say that! Domain Certification in LLMs
- ICLR 2025Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
- ICLR 2025SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects
- ICLR 2025Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes
- ICLR 2025Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
- ICLR 2025Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
- ICLR 2025STAR: Synthesis of Tailored Architectures
- ICLR 2025STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
- ICLR 2025Steering Large Language Models between Code Execution and Textual Reasoning
- ICLR 2025Sufficient Context: A New Lens on Retrieval Augmented Generation Systems
- ICLR 2025SysBench: Can LLMs Follow System Message?
- ICLR 2025Taming Overconfidence in LLMs: Reward Calibration in RLHF
- ICLR 2025TC-MoE: Augmenting Mixture of Experts with Ternary Expert Choice
- ICLR 2025Teaching LLMs How to Learn with Contextual Fine-Tuning
- ICLR 2025Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency
- ICLR 2025TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark
- ICLR 2025The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation
- ICLR 2025The KoLMogorov Test: Compression by Code Generation
- ICLR 2025The Ramanujan Library - Automated Discovery on the Hypergraph of Integer Relations
- ICLR 2025The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model
- ICLR 2025ThinK: Thinner Key Cache by Query-Driven Pruning
- ICLR 2025To Code or Not To Code? Exploring Impact of Code in Pre-training
- ICLR 2025Towards Realistic Data Generation for Real-World Super-Resolution
- ICLR 2025Training Language Models on Synthetic Edit Sequences Improves Code Synthesis
- ICLR 2025TULIP: Token-length Upgraded CLIP
- ICLR 2025Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs
- ICLR 2025Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization
- ICLR 2025Uncertainty-Aware Decoding with Minimum Bayes Risk
- ICLR 2025Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment
- ICLR 2025Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs
- ICLR 2025What Makes Large Language Models Reason in (Multi-Turn) Code Generation?
- ICLR 2025What's New in My Data? Novelty Exploration via Contrastive Generation
- ICLR 2025When Attention Sink Emerges in Language Models: An Empirical View
- ICLR 2025WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
- ICLR 2025You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
- ICML 2025AAAR-1.0: Assessing AI’s Potential to Assist Research
- ICML 2025Agent-as-a-Judge: Evaluate Agents with Agents
- ICML 2025AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement
- ICML 2025An Online Learning Approach to Prompt-based Selection of Generative Models and LLMs
- ICML 2025AuPair: Golden Example Pairs for Code Repair
- ICML 2025AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation
- ICML 2025Automated Benchmark Generation for Repository-Level Coding Tasks
- ICML 2025BaxBench: Can LLMs Generate Correct and Secure Backends?
- ICML 2025Black-Box Adversarial Attacks on LLM-Based Code Completion
- ICML 2025BoA: Attention-aware Post-training Quantization without Backpropagation
- ICML 2025Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing
- ICML 2025Can Large Language Models Understand Intermediate Representations in Compilers?
- ICML 2025CodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction
- ICML 2025CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance
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FAQ
- How many Code Generation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 2,161 in total: 210 in 2023, 446 in 2024, 645 in 2025, 860 in 2026.
- How many Code Generation papers are at NeurIPS 2026?
- NeurIPS 2026 has 236 Code Generation papers, versus 230 the year before.
- How many Code Generation papers are at ICLR 2026?
- ICLR 2026 has 241 Code Generation papers, versus 164 the year before.
- How many Code Generation papers are at ICML 2026?
- ICML 2026 has 174 Code Generation papers, versus 79 the year before.
- How many Code Generation papers are at CVPR 2026?
- CVPR 2026 has 209 Code Generation papers, versus 172 the year before.
- Which conference publishes the most Code Generation papers?
- NeurIPS, with 630 papers from 2023 to 2026.